Abstract Details
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Activity Number:
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421
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #308019 |
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Title:
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Promotion Time Cure Rate Model with Bivariate Random Effects
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Author(s):
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Diego Gallardo*+ and Heleno Bolfarine and Antonio Carlos Pedroso-de-Lima
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Companies:
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University of Sao Paulo and University of Sao Paulo and University of Sao Paulo
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Keywords:
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Promotion time cure rate model ;
Bivariate random effects ;
REML
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Abstract:
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In this paper we extend the cure rate model considered in Gallardo et. al. (2012), in order to allow the inclusion of random effects in both, the survival function for at-risk subjects and the cure probability. For parameter estimation we implemented the restricted maximum likelihood (REML) approach presented. We consider Weibull and Piecewise Exponential distributions to model the survival function for non-cured individuals. Simulation studies are performed and based on a real database we evaluate the performance of our proposed model. It is also studied the effect of not considering bivariate random effects when it should be used.
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Authors who are presenting talks have a * after their name.
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